⚡ Bolt: Use sliding window concurrency in memory scanner

[acebytes]

💡 What: Replaced the static array chunking approach in ProcessMemoryScanner.scanPIDs with a sliding window implementation using pids.makeIterator() and a continuous task addition loop. Added allEntries.reserveCapacity(pids.count) to avoid intermediate array resizing.

🎯 Why: In Swift's structured concurrency, grouping tasks into static chunks introduces tail latency. A chunk of 8 tasks will take as long to complete as the single slowest task within that chunk, leaving up to 7 concurrency slots idle during the stall. A sliding window ensures that a new task is immediately dispatched the moment any active task finishes, keeping the pipeline completely full.

📊 Impact: Significantly reduces the total time required to scan hundreds of PIDs by maintaining exactly maxConcurrency tasks in-flight at all times without idle stalls. Also eliminates the minor memory overhead of generating intermediate arrays for the chunks.

🔬 Measurement: Run a full scan on a system with hundreds of active processes. The total duration of the unprivileged memory scan should complete faster and utilize CPU more consistently compared to the chunked baseline.

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PR created automatically by Jules for task 8944042612882090748 started by @acebytes

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